Applied econometrics and implications for energy economics research

Agnolucci, 2011, Industrial energy intensities in the UK: is there a deterministic or stochastic difference among sectors?, Appl. Econ., 43, 1447, 10.1080/00036840802600541

Aissa, 2014, Output, renewable energy consumption and trade in Africa, Energy Policy, 66, 11, 10.1016/j.enpol.2013.11.023

Akkemik, 2012, Energy consumption and income in Chinese provinces. Heterogeneous panel causality analysis, Appl. Energy, 99, 445, 10.1016/j.apenergy.2012.05.025

Alkhathlan, 2013, Energy consumption, carbon emissions and economic growth in Saudi Arabia: an aggregate and disaggregate analysis, Energy Policy, 62, 1525, 10.1016/j.enpol.2013.07.068

Apergis, 2009, Energy consumption and economic growth in Central America: evidence from a panel cointegration and error-correction model, Energy Econ., 31, 641, 10.1016/j.eneco.2009.01.011

Apergis, 2009, Energy consumption and economic growth: evidence from the Commonwealth of Independent States, Energy Econ., 32, 1421, 10.1016/j.eneco.2010.04.006

Apergis, 2010, Structural breaks and petroleum consumption in US states: are shocks transitory or permanent?, Energy Policy, 38, 6375, 10.1016/j.enpol.2010.06.015

Apergis, 2010, Energy consumption and growth in South America: evidence from a panel error correction model, Energy Econ., 32, 1421, 10.1016/j.eneco.2010.04.006

Apergis, 2010, Renewable energy consumption and growth in Eurasia, Energy Econ., 32, 1392, 10.1016/j.eneco.2010.06.001

Apergis, 2010, Renewable energy consumption and economic growth: evidence from a panel of OECD countries, Energy Policy, 38, 656, 10.1016/j.enpol.2009.09.002

Apergis, 2011, A dynamic panel study of economic development and the electricity consumption-growth nexus, Energy Econ., 33, 770, 10.1016/j.eneco.2010.12.018

Apergis, 2011, The renewable energy consumption-growth nexus in Central America, Appl. Energy, 88, 343, 10.1016/j.apenergy.2010.07.013

Apergis, 2012, Renewable and non-renewable energy consumption-growth nexus: evidence from a panel error correction model, Energy Econ., 34, 733, 10.1016/j.eneco.2011.04.007

Apergis, 2014, Renewable energy, output, CO2 emissions and fossil fuel prices in Central America: evidence from a nonlinear panel smooth transition vector error correction model, Energy Econ., 42, 226, 10.1016/j.eneco.2014.01.003

Apergis, 2013, Is the energy-led growth hypothesis valid? New evidence from a sample of 85 countries, Energy Econ., 38, 24, 10.1016/j.eneco.2013.02.007

Apergis, 2011, Integration properties of disaggregated solar, geothermal and biomass energy consumption in the US, Energy Policy, 39, 5474, 10.1016/j.enpol.2011.05.015

Apergis, 2012, Long memory and disaggregated energy consumption: evidence from fossil fuels, coal and electricity retail in the US, Energy Econ., 34, 1082, 10.1016/j.eneco.2011.09.002

Apergis, 2010, Are fluctuations in coal consumption transitory or permanent? Evidence from a panel of US states, Appl. Energy, 87, 2424, 10.1016/j.apenergy.2009.12.005

Apergis, 2010, Are shocks to natural gas consumption temporary or permanent? Evidence from a panel of US states, Energy Policy, 38, 4734, 10.1016/j.enpol.2010.03.016

Arouri, 2012, Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models, Energy Econ., 34, 283, 10.1016/j.eneco.2011.10.015

Aslan, 2011, Does natural gas consumption follow a nonlinear path over time? Evidence from 50 states, Renew. Sust. Energ. Rev., 15, 4466, 10.1016/j.rser.2011.07.105

Aslan, 2011, The stationarity of energy consumption for Turkish disaggregate data by employing linear and nonlinear unit root tests, Energy, 36, 4256, 10.1016/j.energy.2011.04.018

Bai, 2003, Computation and analysis of multiple structural change models, J. Appl. Econ., 18, 1, 10.1002/jae.659

Baranzini, 2013, The causal relationship between energy use and economic growth in Switzerland, Energy Econ., 36, 464, 10.1016/j.eneco.2012.09.015

Barros, 2011, An analysis of oil production by OPEC countries: persistence, breaks and outliers, Energy Policy, 39, 442, 10.1016/j.enpol.2010.10.024

Barros, 2012, Evidence of long memory behaviour in US renewable energy consumption, Energy Policy, 41, 822, 10.1016/j.enpol.2011.11.052

Barros, 2013, U.S. disaggregated renewable energy consumption: persistence and long memory behavior, Energy Econ., 40, 425, 10.1016/j.eneco.2013.07.018

Berikos, 2008, The relationship between crude oil spot and futures prices: cointegration, linear and nonlinear causality, Energy Econ., 30, 2673, 10.1016/j.eneco.2008.03.006

Bowden, 2009, The causal relationship between US energy consumption and real output: a disaggregated analysis, J. Policy Model, 31, 180, 10.1016/j.jpolmod.2008.09.001

Bruns, 2013, What if energy time series are not independent? Implications for energy-GDP causality testing, Energy Econ., 40, 753, 10.1016/j.eneco.2013.08.020

Carrion-i-Silvestre, 2005, Breaking the panels: an application to GDP per capita, Econ. J., 8, 159

Chandran, 2010, Electricity consumption-growth nexus: the case of Malaysia, Energy Policy, 38, 606, 10.1016/j.enpol.2009.10.013

Chen, 2007, Is energy consumption per capita broken stationary? New evidence from regional-based panels, Energy Policy, 35, 3526, 10.1016/j.enpol.2006.12.027

Chen, 2014, The relationship between spot and futures oil prices: do structural breaks matter?, Energy Econ., 43, 206, 10.1016/j.eneco.2014.03.006

Chiou-Wei, 2008, Economic growth and energy consumption revisited — evidence from linear and nonlinear Granger causality, Energy Econ., 30, 3063, 10.1016/j.eneco.2008.02.002

Chu, 2012, Nuclear energy consumption, oil consumption and economic growth in G-6 countries: bootstrap panel causality tests, Energy Policy, 48, 762, 10.1016/j.enpol.2012.06.013

Coban, 2013, The nexus between financial development and energy consumption in the EU: a dynamic panel data analysis, Energy Econ., 39, 81, 10.1016/j.eneco.2013.04.001

Coers, 2013, The energy GDP nexus: addressing an old question with new methods, Energy Econ., 36, 708, 10.1016/j.eneco.2012.11.015

Congregado, 2012, Looking for hysteresis in coal consumption in the US, Renew. Sust. Energ. Rev., 16, 3339, 10.1016/j.rser.2012.02.069

Costantini, 2014, Small-sample improved seasonal unit root tests for trending and breaking series, Commun. Stat. Simul. Comput.

Dergiades, 2013, Energy consumption and economic growth: parametric and non-parametric causality testing for the case of Greece, Energy Econ., 36, 686, 10.1016/j.eneco.2012.11.017

Di Iorio, 2013, Testing for Granger non-causality using the autoregressive metric, Econ. Model., 33, 120, 10.1016/j.econmod.2013.03.023

Ewing, 2007, Disaggregate energy consumption and industrial output in the United States, Energy Policy, 35, 1274, 10.1016/j.enpol.2006.03.012

Fallahi, 2011, Causal relationship between energy consumption and GDP: a Markov-switching causality, Energy, 36, 4165, 10.1016/j.energy.2011.04.027

Farhani, 2014, The role of natural gas consumption and trade in Tunisia's output, Energy Policy, 66, 677, 10.1016/j.enpol.2013.11.040

Fuinhas, 2012, Energy consumption and economic growth nexus in Portugal, Italy, Greece, Spain and Turkey: an ARDL bounds test approach (1965–2009), Energy Econ., 34, 511, 10.1016/j.eneco.2011.10.003

Gil-Alana, 2010, Does energy consumption by the US electric power sector exhibit long memory behaviour?, Energy Policy, 38, 7512, 10.1016/j.enpol.2010.07.018

Golpe, 2012, Persistence in natural gas consumption in the US. An unobserved components model, Energy Policy, 46, 594, 10.1016/j.enpol.2012.04.021

Hamilton, 2003, What is an oil price shock?, J. Econ., 113, 363, 10.1016/S0304-4076(02)00207-5

Hasanov, 2011, A re-examination of stationarity of energy consumption: evidence from new unit root tests, Energy Policy, 39, 7726, 10.1016/j.enpol.2011.09.017

Hassani, 2010, A comprehensive causality test based on the singular spectrum analysis

Hayat, 2010, The Oil Stock Fluctuations in the United States, Appl, Energy, 87, 178

Herrerias, 2013, Short-and-long run causality between energy consumption and economic growth: evidence across regions in China, Appl. Energy, 112, 1483, 10.1016/j.apenergy.2013.04.054

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Hsu, 2008, Revisited: are shocks to energy consumption permanent or temporary? New evidence from a panel SURADF approach, Energy Econ., 30, 2314, 10.1016/j.eneco.2007.09.007

Hu, 2008, Disaggregated energy consumption and GDP in Taiwan: a threshold cointegration analysis, Energy Econ., 30, 2342, 10.1016/j.eneco.2007.11.007

Huang, 2008, Causal relationship between energy consumption and GDP growth revisited: a dynamic panel data approach, Ecol. Econ., 67, 41, 10.1016/j.ecolecon.2007.11.006

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Jalil, 2011, The impact of growth, energy and financial development on the environment in China: a cointegration analysis, Energy Econ., 33, 284, 10.1016/j.eneco.2010.10.003

Jebli, 2013, Output, renewable and non-renewable energy consumption and international trade: evidence from a panel of 69 countries

Karanfil, 2009, How many times again will we examine the energy-income nexus using a limited range of traditional econometric tools?, Energy Policy, 37, 1191, 10.1016/j.enpol.2008.11.029

Kejriwal, 2010, Testing for multiple structural changes in cointegrated regression models, J. Bus. Econ. Stat., 28, 503, 10.1198/jbes.2009.07220

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Lean, 2009, Long memory in US disaggregated petroleum consumption: evidence from univariate and multivariate LM tests for fractional integration, Energy Policy, 37, 3205, 10.1016/j.enpol.2009.04.017

Lean, 2010, On the dynamics of aggregate output, electricity consumption and exports in Malaysia: evidence from multivariate Granger causality tests, Appl. Energy, 87, 1963, 10.1016/j.apenergy.2009.11.017

Lean, 2013, Are fluctuations in US production of renewable energy permanent or transitory?, Appl. Energy, 101, 483, 10.1016/j.apenergy.2012.06.022

Lean, 2014, Will initiatives to promote hydroelectricity consumption be effective? Evidence from univariate and panel LM unit root tests with structural breaks, Energy Policy, 68, 102, 10.1016/j.enpol.2014.01.007

Lean, 2014, Electricity consumption, output and trade in Bhutan

Lean, 2014, Are shocks to disaggregated energy consumption in Malaysia permanent or temporary? Evidence from LM unit root tests with structural breaks, Renew. Sust. Energ. Rev., 31, 319, 10.1016/j.rser.2013.10.040

Lee, 2005, Energy consumption and GDP in developing countries: a cointegrated panel analysis, Energy Econ., 27, 415, 10.1016/j.eneco.2005.03.003

Lee, 2007, The impact of energy consumption on economic growth: evidence from linear and nonlinear models in Taiwan, Energy, 32, 2282, 10.1016/j.energy.2006.01.017

Lee, 2008, Energy consumption and economic growth in Asian economies: a more comprehensive analysis using panel data, Resour. Energy Econ., 30, 50, 10.1016/j.reseneeco.2007.03.003

Lee, 2003, Minimum Lagrange multiplier unit root test with two structural breaks, Rev. Econ. Stat., 85, 1082, 10.1162/003465303772815961

Lee, 2008, Energy income causality in OECD countries revisited: the key role of capital stock, Energy Econ., 30, 2359, 10.1016/j.eneco.2008.01.005

Liddle, 2012, The importance of energy quality in energy intensive manufacturing: evidence from panel cointegration and panel FMOLS, Energy Econ., 34, 1819, 10.1016/j.eneco.2012.07.013

Liddle, 2013, The energy, economic growth, urbanization nexus across development: evidence from heterogeneous panel estimates robust to cross-sectional dependence, Energy J., 34, 223, 10.5547/01956574.34.2.8

Liu, 2013, Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China, Energy Econ., 36, 43, 10.1016/j.eneco.2012.12.003

Lu, 2014, Time-varying Granger causality tests for application in global crude oil markets, Energy Econ., 42, 289, 10.1016/j.eneco.2014.01.002

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Makin, 2014, What expenditure does Anglosphere foreign borrowing fund?, J. Int. Money Financ., 40, 63, 10.1016/j.jimonfin.2013.08.020

Maslyuk, 2013, Impact of shocks on Australian coal mining

Maslyuk, 2009, Non-linear unit root properties of crude oil production, Energy Econ., 31, 109, 10.1016/j.eneco.2008.09.004

Mehrara, 2007, Energy consumption and economic growth: the case of oil exporting countries, Energy Policy, 35, 2939, 10.1016/j.enpol.2006.10.018

Meng, 2013, Convergence in per capita energy use among OECD countries, Energy Econ., 36, 536, 10.1016/j.eneco.2012.11.002

Mensi, 2014, How do OPEC news and structural breaks impact returns and volatility in crude oil markets? Further evidence from a long memory process, Energy Econ., 42, 343, 10.1016/j.eneco.2013.11.005

Mishra, 2014, Is monthly US natural gas consumption stationary? New evidence from a GARCH unit root test with structural breaks, Energy Policy, 69, 258, 10.1016/j.enpol.2014.03.033

Mishra, 2014, Convergence in energy consumption per capita among ASEAN countries, Energy Policy, 73, 10.1016/j.enpol.2014.06.006

Mishra, 2009, Are fluctuations in energy consumption per capita transitory? Evidence from a panel of Pacific Island countries, Energy Policy, 37, 2318, 10.1016/j.enpol.2009.02.022

Mishra, 2009, The energy-GDP nexus: evidence from a panel of Pacific Island countries, Resour. Energy Econ., 31, 210, 10.1016/j.reseneeco.2009.04.002

Narayan, 2005, The saving and investment nexus for China: evidence from unit roots, cointegration and Granger causality, Appl. Econ., 37, 1979, 10.1080/00036840500278103

Narayan, 2013, New evidence on the weak-form efficient market hypothesis

Narayan, 2010, A new unit root test with two structural breaks in level and slope at unknown time, J. Appl. Stat., 37, 1425, 10.1080/02664760903039883

Narayan, 2012, The energy consumption-real GDP nexus revisited: empirical evidence from 93 countries, Econ. Model., 29, 303, 10.1016/j.econmod.2011.10.016

Narayan, 2007, Are shocks to energy consumption permanent or temporary? Evidence from 182 countries, Energy Policy, 35, 333, 10.1016/j.enpol.2005.11.027

Narayan, 2008, Energy consumption and real GDP in G7 countries: new evidence from panel cointegration with structural breaks, Energy Econ., 30, 2331, 10.1016/j.eneco.2007.10.006

Narayan, 2009, Multivariate granger causality between electricity consumption, exports and GDP: evidence from a panel of Middle Eastern countries, Energy Policy, 39, 229, 10.1016/j.enpol.2008.08.020

Narayan, 2008, Are oil shocks permanent or temporary? Panel data evidence from crude oil and NGL production in 60 countries, Energy Econ., 30, 919, 10.1016/j.eneco.2007.07.005

Narayan, 2010, Energy consumption at the state level: the unit root null hypothesis from Australia, Appl. Energy, 87, 1953, 10.1016/j.apenergy.2009.10.022

Narayan, 2010, Does electricity consumption Granger cause GDP? New global evidence, Appl. Energy, 87, 3294, 10.1016/j.apenergy.2010.03.021

Narayan, 2010, A note on the long-run elasticities from the energy consumption-GDP relationship, Appl. Energy, 87, 1054, 10.1016/j.apenergy.2009.08.037

Narayan, 2010, Gold and oil futures markets: are markets efficient?, Appl. Energy, 87, 3299, 10.1016/j.apenergy.2010.03.020

Narayan, 2011, Investigating price clustering in the oil futures market, Appl. Energy, 88, 397, 10.1016/j.apenergy.2010.07.034

Narayan, 2011, An application of a new seasonal unit root test to inflation, Int. Rev. Econ. Financ., 20, 707, 10.1016/j.iref.2011.01.001

Narayan, 2013, Does tourism predict macroeconomic performance in Pacific Island Countries?, Econ. Model., 33, 780, 10.1016/j.econmod.2013.05.018

Narayan, 2014, Do oil prices predict economic growth? New global evidence, Energy Econ., 41, 137, 10.1016/j.eneco.2013.11.003

Narayan, 2014, Stock returns, mutual fund flows and spillover shocks, Pac. Basin Financ. J., 29, 146, 10.1016/j.pacfin.2014.03.007

Narayan, 2014, Can institutions and macroeconomic factors predict stock returns in emerging markets?, Emerg. Mark. Rev., 19, 77, 10.1016/j.ememar.2014.04.005

Nasreen, 2014, Causal relationship between trade openness, economic growth and energy consumption: a panel data analysis of Asian countries, Energy Policy, 69, 82, 10.1016/j.enpol.2014.02.009

Noguera, 2013, Oil prices: breaks and trends, Energy Econ., 37, 60, 10.1016/j.eneco.2012.12.008

Odhiambo, 2009, Energy consumption and economic growth nexus in Tanzania: an ARDL bounds testing approach, Energy Policy, 37, 617, 10.1016/j.enpol.2008.09.077

Ohler, 2014, The causal relationship between renewable electricity generation and GDP growth: a study of energy sources, Energy Econ., 43, 125, 10.1016/j.eneco.2014.02.009

Omay, 2012, Energy consumption and economic growth: evidence from nonlinear panel cointegration and causality tests

Omri, 2014, Causal relationships between energy consumption, foreign direct investment and economic growth: fresh evidence from dynamic simultaneous equations models, Energy Policy, 67, 913, 10.1016/j.enpol.2013.11.067

Ozturk, 2010, A literature survey on the energy growth nexus, Energy Policy, 38, 340, 10.1016/j.enpol.2009.09.024

Ozturk, 2011, Are fluctuations in energy consumption per capita transitory? Evidence from Turkey, Energy Explor. Exploit, 29, 161, 10.1260/0144-5987.29.2.161

Pao, 2013, The causal relationship between energy resources and economic growth in Brazil, Energy Policy, 61, 793, 10.1016/j.enpol.2013.06.113

Payne, 2009, On the dynamics of energy consumption and output in the US, Appl. Energy, 86, 575, 10.1016/j.apenergy.2008.07.003

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Sadorsky, 2010, The impact of financial development on energy consumption in emerging economies, Energy Policy, 38, 2528, 10.1016/j.enpol.2009.12.048

Sadorsky, 2011, Financial development and energy consumption in central and eastern European frontier economies, Energy Policy, 39, 999, 10.1016/j.enpol.2010.11.034

Sadorsky, 2011, Trade and energy consumption in the Middle East, Energy Econ., 33, 739, 10.1016/j.eneco.2010.12.012

Sadorsky, 2012, Energy consumption, output and trade in South America, Energy Econ., 34, 475, 10.1016/j.eneco.2011.12.008

Sadorsky, 2013, Do urbanization and industrialization affect energy intensity in developing countries?, Energy Econ., 37, 52, 10.1016/j.eneco.2013.01.009

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Shahbaz, 2013, The dynamic links between energy consumption, economic growth, financial development and trade in China: fresh evidence from multivariate framework analysis, Energy Econ., 40, 8, 10.1016/j.eneco.2013.06.006

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